Association of tumor necrosis factor-α (−308 G/A) and interleukin-10 (−1082 A/G) gene polymorphisms with polycystic ovary syndrome in Iraqi women

IF 0.8 Q4 GENETICS & HEREDITY
Israa Ayoub Alwan, Rashad Ayad Al-Heety
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引用次数: 1

Abstract

Background

The etiologic factors of polycystic ovary syndrome (PCOS) are not well understood, however, several studies reported that genetics and environmental factors might be involved in the appearance of PCOS. Therefore understanding some molecular pathways can provide more information about PCOS. The imbalance of pro-inflammatory and anti-inflammatory cytokines could be associated with its pathophysiology. There are huge numbers of polymorphisms within cytokine genes that may affect their production and bring in the women more susceptible for PCOS. The aim of the present study was for evaluation the correlation of single nucleotide polymorphism (−308 G/A) in tumor necrosis factor-alpha (TNF-α) gene and (−1082 A/G) in interleukin-10 (IL-10) gene with PCOS.

Methods

Patients group included 80 women who had a history of PCOS diagnosed using transvaginal or transabdominal ultrasound and don't have any of the inherited disorders such as androgen-secreting neoplasms, congenital adrenal hyperplasia, thyroid dysfunction, and hyperprolactinemia with a mean age (27.23 year). The control group included 70 women with a mean age (26.89 year). Levels of serum IL-10 and TNF-α in woman with PCOS and healthy control have been measured by Enzyme linked immunosorbent assay (ELISA). Single nucleotide polymorphism (SNP) in TNF-α (−308 G/A) and IL-10 (−1082 A/G) genes and the frequency of mutations in patient and control group were evaluated using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP).

Results

Showed that serum IL-10 concentration was significantly decreased (p < 0.01) while TNF-α level was significantly increased (p < 0.01) in patients compared to control group. While the genotype prevalence of TNF-α (−308 G/A) and IL-10 (−1082 A/G) and the allele frequency show non-significant difference (p > 0.05) between women with PCOS and healthy controls.

Conclusion

It is concluded that the level of TNF–α and IL-10 could be considered as possible biomarkers for PCOS while polymorphisms in IL-10 gene and TNF-α gene are not considered as risk factors of PCOS in Iraqi women, this suggests that further studies on other loci or other cytokines are required.

肿瘤坏死因子-α (- 308 G/A)和白细胞介素-10 (- 1082 A/G)基因多态性与伊拉克妇女多囊卵巢综合征的关系
多囊卵巢综合征(PCOS)的病因尚不清楚,但一些研究报道遗传和环境因素可能与多囊卵巢综合征的发生有关。因此,了解一些分子途径可以提供更多关于多囊卵巢综合征的信息。促炎和抗炎细胞因子的失衡可能与其病理生理有关。细胞因子基因中有大量的多态性可能会影响它们的产生并使女性更容易患多囊卵巢综合征。本研究的目的是评估肿瘤坏死因子-α (TNF-α)基因单核苷酸多态性(- 308 G/A)和白细胞介素-10 (IL-10)基因单核苷酸多态性(- 1082 A/G)与PCOS的相关性。方法80例经阴道或经腹部超声诊断为多囊卵巢综合征(PCOS)的女性,无雄激素分泌肿瘤、先天性肾上腺增生、甲状腺功能障碍、高泌乳素血症等遗传性疾病,平均年龄27.23岁。对照组包括70名女性,平均年龄为26.89岁。采用酶联免疫吸附试验(ELISA)测定了PCOS妇女和健康对照者血清IL-10和TNF-α水平。采用聚合酶链反应限制性片段长度多态性(PCR-RFLP)检测患者和对照组TNF-α (- 308 G/A)和IL-10 (- 1082 A/G)基因的单核苷酸多态性(SNP)和突变频率。结果血清IL-10浓度显著降低(p <0.01), TNF-α水平显著升高(p <0.01)。TNF-α (- 308 G/A)和IL-10 (- 1082 A/G)基因型患病率及等位基因频率差异无统计学意义(p >PCOS患者与健康对照组的差异为0.05)。结论TNF-α和IL-10水平可作为PCOS的生物标志物,而IL-10基因和TNF-α基因的多态性不被认为是伊拉克妇女PCOS的危险因素,这提示需要进一步研究其他基因位点或其他细胞因子。
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来源期刊
Meta Gene
Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍: Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.
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